Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/176288
Title: Implementing LiDAR-based SLAM algorithms for enhanced mapping and localization in physical robots
Authors: Ang, Ken Huat
Keywords: Engineering
Issue Date: 2024
Publisher: Nanyang Technological University
Source: Ang, K. H. (2024). Implementing LiDAR-based SLAM algorithms for enhanced mapping and localization in physical robots. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176288
Project: A3265-231 
Abstract: This study investigates SLAM techniques to overcome challenges in feature scarcity, computational load, and motion-induced distortions for autonomous mobile robots. Three SLAM algorithms are tested for LiDAR-inertial odometry, with FAST-LIO emerging as the recommended choice. Leveraging Livox MID-360 LiDAR, the study aims to enhance localization and situational awareness, expanding the practical applications of autonomous robots and UAVs.
URI: https://hdl.handle.net/10356/176288
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_Report_ANG_KEN_HUAT_1.pdf
  Restricted Access
11.28 MBAdobe PDFView/Open

Page view(s)

153
Updated on May 7, 2025

Download(s)

10
Updated on May 7, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.